Titlebook: Intelligent Decision Technologies 2017; Proceedings of the 9 Ireneusz Czarnowski,Robert J. Howlett,Lakhmi C. Ja Conference proceedings 2018

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Building Fuzzy Variance Gamma Option Pricing Models with Jump Levy Processructs an jump Levy process by combining option pricing models with fuzzy theory, and it sets the drift, diffusion and trend terms as fuzzy random variable. Then, we adopts a Monte Carlo algorithm for numerical simulation, compares and analyses the variance gamma (VG) option pricing model through a s

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Rough Set-Based Text Mining from a Large Data Repository of Experts’ Diagnoses for Power Systemsoach applying fuzzy random variable and statistical t-test to text-mine a large data repository of experts’ diagnoses provided by a Japanese power company. The algorithms of rough set and statistical t-test are used to distinguish whether a subset can be classified in the object set or not. The expe

enflame

Applying Domain Knowledge for Data Quality Assessment in Dermatologynce and examinations. These data were stored in documents in the comma-separated values (CSV) format. Since many fields in these documents were presented as free form text or allow null values, there are many data records that are inconsistent with the real-world system. Currently, there is a large

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A Comparison of Predictive Analytics Solutions on Hadooperprises are convinced that one of their key success factor is to consider available data searching for patterns and predicting the future in order to gain more insights about their business, to optimize processes and to save costs. Hence, predictive analytics has never been considered more importan

apropos

2190-3018 ing computer science with the development of artificial inte.The volume presents a collection of peer-reviewed articles from the 9th KES International Conference on Intelligent Decision Technologies (KES-IDT-17), held in Vilamoura, Algarve, Portugal on 21–23 June 2017. The conference addressed criti

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2190-3018 oject management and data analysis. The range of topics addressed includes methods of classification, prediction, data analysis, decision support, modeling, social media and many more in such diverse areas as finance, linguistics, management and transportation..978-3-319-86622-2978-3-319-59424-8Series ISSN 2190-3018 Series E-ISSN 2190-3026

使害怕

Complex Object Recognition Based on Multi-shape Invariant Radon Transform be used for object recognition. Validation of the proposed approach is done on the MPEG7 dataset, giving an accuracy of 94%. Comparison with some known approaches demonstrates the effectiveness of the proposed approach in detecting complex objects, even under geometric transformations.